Nonlinear pharmacokinetic models and analytical solutions: a case of sigmoidal Hill elimination

發布者:系統管理員發布時間:2022-12-07瀏覽次數:652

題目:Nonlinear pharmacokinetic models and analytical solutions: a case of sigmoidal Hill elimination

時間🐽:2022129日📘,8:20-9:50am(周五)

地點:騰訊會議(759-517-0738),密碼:654321

主講人: 李軍副教授(加拿大蒙特利爾大學藥EON4)

摘要:In this study, we discuss how to develop the closed-form solutions of the pharmacokinetic models with sigmoidal Hill elimination with intravenous bolus administration using our newly discovered transcendent H function. Then, we quantitatively revisit some widely used pharmacokinetic indexes and discuss their concentration-dependent properties and sensitivity to the Hill coefficient. Meanwhile, in establishing the closed-form formulas for multiple repeated dosing regimens, we discuss phase transition properties of steady states in function of the lengths of dosing intervals. Further, our results are exemplified with two real drugs. To conclude, our findings provide new knowledge for nonlinear pharmacokinetics and guidance for rational drug designs.

主講人簡介👩‍💼:李軍🏋🏽‍♂️⟹,本科碩士畢業於武漢大學數學系🚵🏻,加拿大蒙特利爾大學數學系理學博士🧑‍💻🗼,藥EON4博士後🏠,目前是加拿大蒙特利爾大學藥EON4副教授🤾🏽‍♂️。主要從事藥物動力學、藥效動力學、群體藥物動力學/藥效動力學,系統定量藥理學的建模和模擬;在藥學醫學等主流學術期刊《Journal of pharmacokinetics and pharmacodynamics, CPT: Pharmacometrics&Systems Pharmacology, Journal of Theoretical Biology,》等發表學術論文60多篇,連續收到到加拿大國家自然科學與工程基金(NSERC)和魁北克省自然科學與工程基金(FRQNT)項目資助。  

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